This paper presents a study based on the facial feature representation and facial image recognition using the Neighborhood-based Binary Patterns (NBP).
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In this work, we present a novel approach to face recognition which considers both shape and texture information to represent face images.
Missing: Neighborhood- | Show results with:Neighborhood-
In this paper an efficient and robust method for real-time face recognition is proposed. As a part of pre-processing to remove noise and unwanted features.
Missing: Neighborhood- | Show results with:Neighborhood-
A basic automatic facial expression recognition system generally consists of three steps [2]: face acquisition, facial feature extraction and representation, ...
Nov 21, 2024 · In this work, we present a novel approach to face recognition which considers both shape and texture information to represent face images.
The method combines the facial action coding system (FACS) and "uniform" local binary patterns (LBP) to represent facial expression features from coarse to fine ...
May 31, 2021 · We present a novel framework for efficient and robust facial feature representation based upon Local Binary Pattern (LBP), called Weighted Statistical Binary ...
The face area is divided into small regions followed by the extraction of Local Binary Pattern (LBP) histograms and the histograms are concatenated into a ...
This paper proposes a novel approach for recognizing facial images from facial features using feature descriptors, namely local binary patterns(LBP) and local ...
Jun 15, 2012 · Local Binary Patterns are considered as one of the texture descriptors with better results; they employ a statistical feature extraction by ...